00000cmm a22000005i 4500 UP-99796217611000432 Buklod 20230504003249.0 m go j cr |n |||auu|a 101125s2011 xxu u | eng d 9781441971586 (e-book) 1441971580 (e-book) (iLib)UPD-00206905423 DLC DML eng H 61 R67 2011eb Rossiter, John R. author. Measurement for the Social Sciences The C-OAR-SE Method and Why It Must Replace Psychometrics [electronic resource] by John R. Rossiter. New York, NY Springer New York 2011. 1 online resource (xvi, 172p.) 10 illus. Ch 1. Rationale of C-OAR-SE -- Ch 2. Validity and reliability -- Ch 3. Object classification and measures -- Ch 4. Attribute classification and measures -- Ch 5. Rater entity classification -- Ch 6. Selection of item-type and answer scale -- Ch 7. Enumeration and scoring rule -- Ch 8. Qualitative research measurement -- Ch 9. DROAVR application checklist -- Appendix -- References -- Index. IP based subscription, on campus only. Access via Electronic Resources of the UPD University Library Website. This book proposes a revolutionary new theory of construct measurement called C-OAR-SE for the social sciences. The acronym is derived from the following key elements: construct definition; object representation; attribute classification; rater entity identification; selection of item type; enumeration and scoring. The new theory is applicable to the design of measures of constructs in: management marketing information systems organizational behavior psychology sociology C-OAR-SE is a rationally rather than empirically-based theory and procedure. It can be used for designing measures of the most complex and also the most basic constructs that we use in social science research. C-OAR-SE is a radical alternative to the traditional empirically-based psychometric approach, and a considerable amount of the book's content is devoted to demonstrating why the psychometric approach does not produce valid measures. The book argues that the psychometric approach has resulted in many misleading findings in the social sciences and has led to erroneous acceptance or rejection of many of our main theories and hypotheses, and that the C-OAR-SE approach to measurement would correct this massive problem. The main purpose of this book is to introduce and explain C-OAR-SE construct measurement theory in a way that will be understood by all social science researchers and that can be applied to designing new, more valid measures. Featuring numerous examples, practical applications, end-of-chapter questions, and appendices, the book will serve as an essential resource for students and professional researcher alike. Electronic reproduction. New York SpringerLink c2011. Available via World Wide Web through SpringerLink. Social sciences Research Methodology. Social sciences Statistical methods. Marketing research Methodology. Psychometrics. Consumer behavior Research. Electronic books. SpringerLink. Electronic Resource http://link.springer.com/book/10.1007/978-1-4419-7158-6 Available for University of the Philippines Diliman via SpringerLink. Click here to access (viewed 7 March 2014) FO Monograph UPD DMLR Electronic Resource